Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Load state discrimination method and discrimination system driven by telemetering original data

A technology of raw data and telemetry data, applied in the application field, can solve the problem of lack of analysis of telemetry raw data, discriminant learning methods, etc.

Pending Publication Date: 2020-11-20
NAT SPACE SCI CENT CAS
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, experts and scholars at home and abroad have done in-depth research on telemetry parameters through spacecraft platform status monitoring, equipment parameter interpretation and fault interpretation, and have achieved some results, but there is a lack of telemetry raw data discrimination for the status of various mission load stand-alone equipment. Study on Analysis of Learning Methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Load state discrimination method and discrimination system driven by telemetering original data
  • Load state discrimination method and discrimination system driven by telemetering original data
  • Load state discrimination method and discrimination system driven by telemetering original data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0134] The principle of the present invention is as follows: establish a load stand-alone equipment state discrimination model driven by telemetry raw data, use an integrated learning method to train the telemetry raw data set and the load stand-alone equipment state data set, and use the fitted model to classify the load according to the telemetry data. Stand-alone equipment status is automatically judged.

[0135] Such as figure 1 As shown, Embodiment 1 of the present invention provides a method for discriminating the state of a load stand-alone device driven by telemetry raw data. The method uses satellite telemetry data to automatically determine the state of a load stand-alone device. The method includes:

[0136] Step 1) According to the status of the satellite task to be interpreted and the load stand-alone equipment, configure the access information of the telemetry parameter library table and the access information of the task load operation plan library table;

[01...

Embodiment 2

[0180] Such as figure 2As shown, Embodiment 2 of the present invention provides a load stand-alone equipment state discrimination system driven by telemetry raw data, which system includes the original database of satellite telemetry data, satellite mission operation plan database, telemetry parameter library table (real-time, delay) Configuration module, task load operation plan database table configuration module, packet telemetry load data extraction module, telemetry parameter original data merging and formatting module, telemetry parameter formatted data set construction module, outlier elimination module, segmented time scale alignment module, feature screening module, telemetry data and load state multi-label classification integrated learning model training module, model tuning parameters and application module.

[0181] Data stored in the original database of satellite telemetry data All raw telemetry data downlinked by satellites.

[0182] The data stored in the sa...

Embodiment 3

[0226] Based on the method of Embodiment 1, Embodiment 3 of the present invention proposes a system for discriminating the state of load stand-alone equipment driven by telemetry raw data. The system includes a receiving module, an extraction module, a discrimination module and a trained load stand-alone equipment discrimination model; among them,

[0227] The receiving module is used to receive the telemetry original data transmitted by the satellite;

[0228] The extraction module is used to extract the subpackaged telemetry data corresponding to the load stand-alone equipment from the telemetry raw data;

[0229] The discrimination module is used to input the packetized telemetry data into the pre-trained load stand-alone equipment discrimination model to obtain the status result of the load stand-alone equipment.

[0230] The input of the load stand-alone equipment discrimination model is the packetized telemetry data corresponding to the load stand-alone equipment, and t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a load single-machine equipment state discrimination method driven by telemetering original data. The method comprises the following steps: receiving telemetering original datadownloaded by a satellite; according to a telemetering parameter configuration file, extracting subpackage telemetering data corresponding to the load single-machine equipment from the telemetering original data; inputting the subpackage telemetering data into a pre-trained load single-machine equipment discrimination model to obtain a load single-machine equipment state result; the load stand-alone equipment discrimination model comprising a telemetry parameter formatting processing module, an outlier elimination module and a load stand-alone equipment discrimination module. The telemeteringparameter formatting processing module is used for formatting subpackage telemetering data according to a processing strategy to obtain telemetering parameter formatted data; the outlier eliminationmodule is used for eliminating outliers in the telemetry parameter formatted data; and the load stand-alone equipment discrimination module is used for outputting a load stand-alone equipment state result according to the remote measurement parameter formatted data.

Description

technical field [0001] The invention relates to the application fields of satellite management and control, instrument monitoring and the like. In particular, the invention relates to a method and a system for discriminating the state of a load stand-alone device driven by telemetry raw data. Background technique [0002] Telemetry parameter data is the only basis for experts, scholars and spacecraft ground operations management personnel to understand the on-orbit status of spacecraft instruments. The status identification of on-orbit instruments and equipment is an important work link in the process of spacecraft mission operation control and supervision. On the one hand, compared with the conventional sub-systems of spacecraft platforms, the payload equipment and instruments are more personalized, sophisticated, and complex according to the tasks; The function design is complex, the format of the downlink telemetry parameter is diverse, and the dimension of the telemetry...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2135G06F18/214G06F18/24323
Inventor 李虎郭国航刘玉荣吴海燕肖志刚谢夏洁
Owner NAT SPACE SCI CENT CAS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products